Managing transition plans is one of the major problems of people with cognitive disabilities. Therefore, finding an automated way to generate such plans would be a helpful tool for this community. In this paper we have specifically proposed and compared different alternative ways to merge plans formed by sequences of actions of unknown similarities between goals and actions executed by several operator agents which cooperate between them applying such actions over some passive elements (node agents) that require additional executions of another plan after some time of use. Such ignorance of the similarities between plan actions and goals would justify the use of a distributed recommendation system that would provide an useful plan to be applied for a certain goal to a given operator agent, generated from the known results of previous executions of different plans by other operator agents. Here we provide the general framework of execution (agent system), and the different merging algorithms applied to this problem. The proposed agent system would act as an useful cognitive assistant for people with intelectual disabilities such as autism.

对于患有认知障碍的人来说，管理过渡计划是一个主要问题。因此，找到一种自动化生成这样的计划的方法将成为这个群体的有用工具。本文具体提出并比较了不同的方法来合并由多个操作代理执行的具有未知相似性的目标和动作序列生成的计划，并介绍了一种分布式推荐系统作为一个有用的认知助手，为给定的操作代理提供可应用于特定目标的计划，该推荐系统是基于其他操作代理执行不同计划的已知结果生成的。这里提供了执行的总体框架（代理系统）和应用于该问题的不同合并算法。该提出的代理系统将作为对患有智力障碍（如自闭症）的人有用的认知助手。

通过基于代理的声誉系统合并带有关于行动和目标的不完整知识